阅读说明：本技术 鱼塘监测数据与气象相结合的智慧云养殖系统 (Intelligent cloud culture system combining fishpond monitoring data and weather ) 是由 薄翠梅 曹欣羽 季焱晶 张一正 白赵强 于 2019-11-12 设计创作，主要内容包括：本发明公开一种鱼塘监测数据与气象相结合的自动化智慧养殖系统,包括环境检测模块,控制模块,无线传输模块,具有预测功能的云平台。该系统能通过各种传感器检测出鱼塘指标并传输至云平台。根据不同种鱼类养殖环境指标,在云平台实时获取鱼塘当前水质环境检测数据,GPS定位模块传送的鱼塘的分布地以及鱼塘所在地未来天气预测情况,优化计算给出在未来一段时间鱼塘温度控制、PH值控制、水位控制、溶氧量量控制、光照回路的最优设定值,并通过调节加热棒、加料、进出水泵、增氧机、光照设备等实现鱼塘的远程监控与自动控制。该发明利用气象预测和云平台技术,可以大大提升渔业养殖的自动化和智能化,根据鱼类养殖最佳环境指标实现鱼塘的智慧养殖。(The invention discloses an automatic intelligent culture system combining fishpond monitoring data and weather, which comprises an environment detection module, a control module, a wireless transmission module and a cloud platform with a prediction function. The system can detect the fishpond index through various sensors and transmit the fishpond index to the cloud platform. According to different fish culture environment indexes, current water quality environment detection data of the fishpond are acquired in real time on a cloud platform, the distribution place of the fishpond and the future weather prediction situation of the location of the fishpond transmitted by a GPS positioning module are optimized and calculated to give the optimal set values of fishpond temperature control, PH value control, water level control, dissolved oxygen amount control and an illumination loop in a future period, and remote monitoring and automatic control of the fishpond are realized by adjusting a heating rod, feeding, a water inlet and outlet pump, an aerator, illumination equipment and the like. The invention utilizes the meteorological prediction and cloud platform technology, can greatly improve the automation and the intellectualization of fishery culture, and realizes the intelligent culture of the fishpond according to the optimal environmental index of fish culture.)

1. A smart cloud culture system combining fishpond monitoring data and weather is characterized by comprising an environment detection module, a control module, a wireless transmission module and a cloud platform; the environment detection module detects local environment information of the fishpond and sends data to the cloud platform through the wireless transmission module, and after the cloud platform processes the data, the control information is sent to the control module through the wireless transmission module;

the environment detection module comprises a water level sensor, a temperature and humidity sensor, a PH value sensor, a dissolved oxygen sensor and a light intensity sensor; the control module comprises a relay set, a monitoring display screen, a manual control button and an execution unit; the execution unit includes: the device comprises a heating rod, a feed control valve, an aerator, a water pump and illumination equipment;

the cloud platform automatically acquires all parameters acquired by the environment detection module, the distribution location of the fishpond and the future weather index prediction situation of the location of the fishpond, combines the acquired parameters with the weather prediction of the location of the fishpond, and optimally calculates to obtain the optimal set values of fishpond temperature control, PH value control, water level control, dissolved oxygen amount control and illumination loop.

2. The intelligent cloud culture system combining fish pond monitoring data and weather, as claimed in claim 1, wherein the cloud platform automatically obtains locations of the intelligent devices and local weather conditions through the GPS locator, and connects the intelligent devices distributed in different locations to realize distributed control and centralized management of the intelligent devices; the future weather index prediction situation acquired by the cloud platform comprises the following steps: weather conditions, wind speed level, average air pressure, average water vapor pressure, lowest air temperature, air humidity, precipitation, rainfall probability, cloud layer thickness, sunlight intensity, current time-base, weather quality, current and future two hours; the weather conditions comprise sunny days, cloudy days, rainy days and rainstorm; the wind speed grades comprise 0 grade, 2 grade, 4 grade, 6 grade, 8 grade, 10 grade, 12 grade and above; the weather quality comprises excellent, good and light pollution, moderate pollution, severe pollution and serious pollution; the seasons include standing spring, rain, spring equinox, plum rain, standing summer and sunstroke, big summer, standing autumn, frost, and standing winter. And the cloud platform displays the prompt information on the interface at a specific time.

3. The intelligent cloud culture system combining fish pond monitoring data and weather as claimed in claim 1, wherein the cloud platform digitally processes the weather prediction index obtained automatically, calculates an optimal setting value by combining the fish pond monitoring data and a specific formula, and correspondingly controls the control module.

4. The intelligent cloud farming system of claim 1 wherein the cloud platform detects extreme weather conditions including heavy rain, wind speed above six, heavy weather pollution, or pond dissolved oxygen below 2mg/L, PH below 5.5 or pH above 10, excessive temperature above 38 ℃ or insufficient temperature below 12 ℃ from the acquired weather forecast data, and alerts the user through the wireless transmission module.

5. The system of claim 1, wherein the cloud platform is configured to turn on the aerator or extend the aerator under conditions of insufficient oxygen capacity, different time periods of sunny, cloudy, and rainy weather, dry summer season, too low atmospheric pressure, and too high humidity, based on current measured values of the dissolved oxygen sensor, combined with future weather index predictions including weather, season, atmospheric pressure, and humidityThe running time of the oxygen machine; the reference formula is as follows: o is₂₀＝K₀P₀/(T_min0*e^Pw₀)

O₂₁＝K₀P₁/(T_min1*e^Pw₁)

Wherein, K₀Is the proportionality coefficient, P₀Is the average air pressure, T_min0Is the lowest temperature, Pw, within two hours₀Is the average water vapor pressure over two hours; p₁Is the average gas pressure after two hours, T_min1Is the lowest temperature, Pw, of the next two hours₁Is the average water vapor pressure, O, of two hours in the future₂₁Predicting the dissolved oxygen after two hours;

O₂(t)＞＝5(mg/L)*[u(t-6)-u(t-22)]+3(mg/L)*{[u(t)-u(t-24)]-[u(t-6)-u(t-22)]}

wherein, O₂1 is the dissolved oxygen of the fish pond under the current weather, K is the proportionality coefficient, P₀Is the daily average air pressure, T_minIs the daily minimum temperature, and Pw is the daily average water vapor pressure; o is₂2 is the amount of dissolved oxygen required for the pond, t is the time of day, and u (t) is a step function.

6. The intelligent cloud aquaculture system of claim 1 wherein the cloud platform adjusts the feed valves to open or close at PH values less than 7.5, 7.5-8.5, 8.5-9, greater than 9, in cloudy days, and in continuous sunny summer days, based on current measurements from the PH module in combination with future weather index predictions including weather and season; starting a water pump to change water for the fish pond under the condition that the pH value of the water quality of the fish pond is too low; the reference formula is as follows:

CaO(＝1*666.667*A*B*J {J|15＜J＜20}；

H＝3(kg)*666.667*A*B

wherein CaO is the total mass of the needed quicklime, A is the length of the fish pond, B is the width of the fish pond, J is the dosage of the quicklime needed by each mu of the fish pond, and H is the mass of the mixture of zeolite powder and ammonia nitrone.

7. The intelligent cloud culture system combining fish pond monitoring data and weather as claimed in claim 1, wherein the cloud platform automatically obtains a current measurement value of the temperature module, and detects whether the current temperature of the fish pond is too low by combining the optimal survival temperature of different fish species and the current season; adjustment of the heating rod on or off when the measured value t is below the optimum value or does not meet seasonal requirements. The reference formula is as follows:

t＜[T1+(T2-T1)*δ

wherein T1 is the lowest temperature suitable for fish culture, T2 is the highest temperature suitable for fish culture, and delta is a proportionality coefficient.

8. The system of claim 1, wherein the cloud platform compares the current measured value of the water level detection module with the optimal value L of the water level₀Adjusting the opening or closing of the water pump; the calculation of the optimal value of the water level comprises factors of the types of different fishponds, the current time and the future precipitation; the reference formula is as follows:

L₀＝K₀*R₀*H₀*C₀/(l₀*v₀)

L₁＝K₀*R₁*H₁*C₁/(l₁*v₁)

wherein, K₀Is a proportionality coefficient; r₀Is the amount of rainfall in the current two hours; h₀Is the current two hour air humidity; c₀Is the current cloud layer thickness; l₀Is the current sunlight intensity; v. of₀Is the current wind speed; r₁Is the amount of rainfall after two hours, H₁Is the air humidity after two hours, C₁Is the cloud layer thickness of two hours in the future, l₁Is the intensity of sunlight, v, in the two hours in the future₁Is the wind speed, L, of two hours in the future₁Is to predict the water level after two hours.

9. The intelligent fish pond monitoring data and weather combined cloud aquaculture system of claim 1, wherein the cloud platform adjusts the on or off of the additional light sources by comparing the current measured value of the illumination module with the optimal value of the light intensity; the calculation of the optimal illumination value comprises factors of the type, the time interval and the time period of the day of the fish; the reference formula is as follows:

Light＝{K1*[u(t-6)-u(t-7)+u(t-17)-u(t-20)]+

K2*[u(t-6)-u(t-6.5)+u(t-20)-u(t-20.5)]}*(light0-light1)

wherein Light is the current additionally required fishpond illumination intensity, K1 is 1 in winter, and K1 is 0 in the rest of the time; k2 is 1 in spring and autumn, and K2 is 0 in the rest of spring and autumn; t is the time of day, light0 is the optimum survival light intensity for different species of fish, and light1 is the measured value of the light intensity sensor.

Technical Field

The invention relates to the technical field of culture, the field of big data analysis, the field of weather forecast, the field of communication and the field of control, in particular to a smart cloud culture system combining fishpond monitoring data and weather.

Background

In countries with developed aquaculture industry such as danish and japan, on-line detection of a plurality of water quality parameters having important significance on temperature, pH value, ammonia nitrogen, COD, BOD and the like in aquaculture water is realized, and intelligent devices distributed on a target site are connected with a control center through a communication network on the basis of a computer technology, a control technology and a communication technology, so that an advanced control mode for decentralized control and centralized management of the field devices is realized.

On the whole, aquaculture in western economically developed countries has basically achieved mechanization of aquaculture, improved variety of aquaculture species, automation of aquaculture management, specialization of aquaculture technology, and marketing informatization of aquaculture products. This marks the state that the level of modernization of aquaculture production and equipment is quite high, and without speeding up the pace of modernization of aquaculture technology, it may lag behind the progress of the world's aquaculture technology.

The automation popularization condition of aquaculture in China is not ideal, the basic culture conditions are laggard, most of the aquaculture nationwide adopts simple equipment such as an aerator and a bait casting machine, the water quality monitoring, the circulating culture and the like are less in application, and the automation degree is low. At present, automatic equipment is needed to be adopted for indoor industrial aquaculture, and the automatic aquaculture degree of outdoor large-water-surface farms is also needed to be improved. The realization of the mechanized automation of fish culture is an urgent need of the prior aquatic product production in China.

Fishery meteorological disasters are hazards to fishery production caused by adverse meteorological conditions. The hazards of meteorological conditions to fishery production fall into two broad categories, one directly harms the physiological activities of fishery organisms and the other indirectly causes the hazards by affecting the water environment in which fishery organisms inhabit. In fishery production, corresponding measures can be taken to prevent and control fishery meteorological disasters. The method combines the data monitored by the fishpond with weather prediction to realize the automation of cultivation, thereby not only saving manpower and material resources, but also improving the cultivation benefit and reducing the loss of fishery cultivation caused by weather.

Disclosure of Invention

Based on the prior art is not enough, we have designed an automatic wisdom farming systems that pond monitoring data and meteorological phenomena combined together. The system comprises an environment detection module, a control module, a wireless transmission module and a cloud platform. The system can detect parameters such as PH value, temperature, humidity, dissolved oxygen amount and water level through various sensors, and transmit data to the cloud platform through the GPRS module. According to different fish culture environment indexes, the system acquires current water quality environment detection data (PH value, temperature, humidity, dissolved oxygen amount and water level) of the fishpond in real time on a cloud platform, the distribution place of the fishpond transmitted by a GPS positioning module and the future weather index prediction conditions (weather conditions, wind speed grade, air pressure, humidity, precipitation amount, rainfall probability and the like) of the place where the fishpond is located are optimized and calculated to give the optimal set values of fishpond temperature control, PH value control, water level control, dissolved oxygen amount control and an illumination loop, and the remote monitoring and automatic control of the fishpond are realized by adjusting a heating rod, feeding, a water inlet and outlet pump, an aerator, illumination equipment and the like. The invention utilizes the meteorological prediction and cloud platform technology, can greatly improve the automation and the intellectualization of fishery culture, and realizes the intellectualized management of the fishpond according to the optimal environmental index of fish culture.

The system comprises an environment detection module, a control module, a wireless transmission module and a cloud platform.

The environment detection module comprises a dissolved oxygen sensor, a temperature and humidity sensor, a light intensity sensor, a PH value sensor, a water level measurement sensor and a camera, can measure the water level, the PH value, the oxygen content, the ambient environment humidity, the temperature and the light intensity of the fishpond, and transmits real-time pictures of the fishpond.

The control module comprises a relay set, a monitoring display screen, a manual control button and an environment control device. The environment control apparatus includes: heating rod, fodder control valve, oxygen-increasing machine, water pump, illumination equipment. The heating rod, the feed control valve, the aerator, the water pump and the illumination equipment are connected with the relay set.

The wireless transmission module comprises a GPRS module and a GPS positioning module.

The cloud platform can automatically acquire all parameters acquired by the environment detection module, the distribution location of the fishpond and the future weather index prediction situation of the location of the fishpond, combine the acquired parameters with the weather prediction of the location of the fishpond, and optimally calculate to give the optimal set values of fishpond temperature control, PH value control, water level control, dissolved oxygen amount control and illumination loop.

The cloud platform can control the control module to be opened or closed through the wireless transmission module according to the calculated optimal set value, and automation and intellectualization of fish pond culture are achieved. The technical effects are as follows:

the environment detection module adopts various sensors, can accurately measure parameters of the water body of the fish pond and environment parameters, shoots real-time images of the fish pond and uploads the images to the cloud platform; the device can realize comprehensive and effective monitoring and control on the fishpond by adjusting parameters according to the types of different fishes and the types of the fishpond; the user logs in by using mobile equipment such as a mobile phone, a computer, a tablet and the like at any time and any place, so that the condition of the fishpond can be monitored in real time.

The control equipment comprises a plurality of controllers, can control the fishpond according to the cloud platform optimization calculation result or the parameter set by the user independently, and has the priority higher than that of the system calculation result. The device can ensure that the water body is in a range required by a user and ensure the healthy growth of fishes in the fishpond.

The cloud platform can automatically acquire the weather condition of the place where the fish pond of the user is located, the weather is taken as the interference amount of the fish pond environment system, the change trend of the future weather is combined, the self-made algorithm is brought into, the optimal parameters of all indexes of all the fish ponds are calculated, the calculation result is transmitted to the target user, and the environment control equipment in the fish pond is automatically controlled. And taking corresponding measures in time for the upcoming extreme weather condition, and giving an alarm to the user.

The system is suitable for various large-scale culture fishponds, compound culture fishponds or a large number of culture bases, and can be suitable for medium and small-scale fishponds through parameter adjustment.

Target users of the system comprise fishpond management personnel, fishpond security personnel, culture operation workers and other personnel related to fishpond culture management. Different users can be provided with the fishpond real-time information which is needed most by the users. One target customer can add and manage a plurality of fishponds simultaneously.

Drawings

Fig. 1 is a structure of an automated intelligent aquaculture system combining pond monitoring data and weather provided by the present invention.

In the drawings, the components indicated by the respective reference numerals are as follows.

1. Main controller 2, data processing module

3. Execution unit 4.GPRS

5. Fishpond culture pond 6. cloud platform

10. Water level detection sensor 11, temperature and humidity sensor

pH sensor 13 dissolved oxygen sensor

14. Light intensity sensor 15 heating rod

16. Feed control valve 17 aerator

18. Water pump 19. light equipment

20. Camera module 21.GPS locator

Fig. 2 is a schematic diagram of important modules in the cloud platform and their functions.

Fig. 3 is a specific structure of the oxygen control module.

Fig. 4 shows a specific structure of the PH control module.

Detailed Description

The technology of the present invention will be described with reference to the accompanying drawings.

The environment detection module comprises a data processing module 2, a dissolved oxygen sensor 13, a temperature and humidity sensor 11, a light intensity sensor 14, a pH value sensor 12, a water level measuring sensor 10 and a camera module 20. The data processing module 2 amplifies, converts and filters the data received by the sensor into digital quantity; the camera module 20 can transmit the real-time pictures of the fishpond to the cloud platform 6

The control module shown in fig. 1 comprises an execution unit 3, a monitoring display screen, a manual control button and an environment control device. The relay group is connected with environment control equipment (a heating rod 15, a feed control valve 16, an aerator 17, a water pump 18 and illumination equipment 19) to provide power for the environment control equipment, so that the equipment works normally.

The wireless transmission module shown in fig. 1 comprises a GPRS module 4 and a GPS positioning module 21. And the GPRS module 4 is used for uploading the processed data to a cloud platform, and forwarding the IP packet sent from the singlechip or the packet data sent from the base station after corresponding processing. The GPS positioning module 21 is used to send the geographical position of the fish pond to the satellite.

The cloud platform 6 shown in fig. 1 may perform acquisition, storage, optimization, and transmission of data. The location of the intelligent device is automatically acquired through the GPS positioner 21, and the intelligent devices distributed in different locations are connected together, so that the distributed control and centralized management of the intelligent devices are realized.

The data storage module shown in fig. 2 is used to obtain various parameters of the fish pond at different locations, and perform optimization calculation and feed back data to the GPRS module 4 by combining the processing results of seasons, time and weather, including special time periods and extreme weather.

The data calculation module shown in fig. 2 may receive data from the data storage module and calculate optimal results from the data.

The processing module shown in fig. 2 may be used to analyze and process data of a data storage module in combination with special seasons and extreme weather, and upload the operation result to the data storage module.

The starting conditions of the aerator are shown in fig. 3: when the oxygen is insufficient, starting an oxygen increasing machine; when the time is in a specific time period of cloudy days, sunny days and rainy days, the working time of the aerator is prolonged; when meeting the specific time period of plum rain and drought season, the working time of the aerator is prolonged; when the steam pressure is too low or the humidity is too high, the working time of the aerator is prolonged; and when the conditions are not met, the oxygen increasing machine is turned off.

The PH adjustment method is shown in fig. 4: when the PH is too low, the water pump is turned on; when the pH is too high, a feed or boiled water pump is added; under the condition of normal PH, when meeting the rainy weather, the medicament (gypsum, nontoxic weak acid) is properly added; if the summer lasts sunny days, the nano oxygen is matched with the zeolite powder for sprinkling.

The cloud platform obtains the future weather index prediction condition through the satellite. The user is warned when extreme weather conditions, such as heavy rain, wind speed grade exceeding six, severe weather pollution, or abnormal conditions that the dissolved oxygen in the fish pond is lower than 2mg/L, PH and lower than 5.5, the PH is higher than 10, the temperature is higher than 38 ℃ or lower than 12 ℃, or a large amount of fish die, are met, and the control range of the control module is beyond six levels.

The cloud platform calculates according to environment detection data (PH value, temperature, humidity, dissolved oxygen, water level) and the prediction condition of the future weather indexes (weather condition, wind speed grade, air pressure, humidity, precipitation, rainfall probability and the like) of the location, and the calculation formula is as follows:

with reference to fig. 3, oxygen regulation: research shows that the dissolved oxygen is reduced along with the rise of the lowest temperature, and the dissolved oxygen and the lowest temperature have a highly negative correlation; the dissolved oxygen is exponentially reduced along with the increase of the water vapor pressure, and the negative correlation relationship of the dissolved oxygen and the water vapor pressure is very obvious; the dissolved oxygen has a higher positive correlation with the gas pressure. The dissolved oxygen in the current pond is expressed as:

O₂₀＝K₀P₀/(T_min0*e^Pw₀)

wherein, K₀Is the proportionality coefficient, P₀Is the average gas pressure, T, over two hours_min0Is the lowest temperature, Pw, within two hours₀Is the average water vapor pressure over two hours. Obtaining the current oxygen capacity in the fishpond through an environment detection module and weather forecast, and calculating K₀The value of (c). Automatically obtaining average air pressure P after two hours from cloud platform₁Minimum air temperature T of two hours in the future_min1Average water vapor pressure Pw of two hours in the future₁Predicting the dissolved oxygen O after two hours₂₁＝K₀P₁/(T_min1*e^Pw₁). If the following conditions are met: o is₂₁＜80％*O₂₀I.e. by

K₀P₁/(T_min1*e^Pw₁)＜80％*K₀P₀/(T_min0*e^Pw₀)

The aerator is turned on to increase the current oxygen by 10%.

The oxygen in the fishpond needs to meet the following requirements: the dissolved oxygen of the water body which is required to be not less than 16 hours per day is more than 5mg/L, and the rest time is not less than 3mg/L, namely:

O₂(t)＞＝5(mg/L)*[u(t-6)-u(t-22)]+3(mg/L)*{[u(t)-u(t-24)]-[u(t-6)-u(t-22)]}

wherein: o is₂The amount of dissolved oxygen required for the fishpond, t is the time of day (hours), u (t) is a step function;

when the above conditions are not met, the aerator is turned on.

And when the weather forecast detects overcast and rainy days or sudden change of the weather (the weather changes from sunny to overcast and rainy and changes from overcast and rainy to sunny), the aerator is started. The specific boot time is as follows:

in sunny days: 2-3 am in the afternoon

In cloudy days: 6-7 am in the morning

Continuous rainy days: starting up at 11-day night and 3 am

And (3) in a dry season in summer: noon 12-afternoon 5 o' clock (the start-up duration can be prolonged properly)

Atmospheric pressure below 1000 kpa: starting up at 6-9 am and at 11-2 pm

Humidity greater than 80%: starting up at 6-10 am (the starting up time can be properly prolonged)

And when the dissolved oxygen of the fishpond is lower than 2mg/L, sending alarm information to a user.

And (3) pH adjustment: in sunny days, a large amount of carbon dioxide in water is consumed by photosynthesis, and the pH value is increased; acid rain causes algae to fall down resulting in a lower pH. And acquiring the current PH value in the fishpond through an environment detection module and weather forecast, and comparing the current PH value with the calculated optimal value.

The pH in the fishpond needs to satisfy: the PH value is between 7.5 and 8.5; during the cultivation production period, 15-20 kg of quicklime is applied to each mu every 10-15 days, so that the water quality of the pond can be kept in alkalescence, and organic matters are driven to precipitate.

When the pH value is less than 7, applying proper amount of hydrated lime or crushed limestone, wherein the dosage of the quicklime is as follows:

CaO＝1*666.667*A*B*J{J|15＜J＜20}

wherein CaO is the total mass (kg) of the required quicklime, A is the length (m) of the fishpond, B is the width (m) of the fishpond; j is the dosage (kg) of quicklime required by each mu of fishpond.

After overcast and rainy days, the pH value of the fish pond is higher, and when the pH value is more than 8.5, a proper amount of mixture of zeolite powder and amitraz is applied, and the dosage is as follows:

H＝3*666.667*A*B

wherein H is the total mass (kg) of the mixture of the desired zeolite powder and amitraz, A is the length (m) of the fish pond, and B is the width (m) of the fish pond.

The pH value is more than 9, and a water pump is opened for water injection.

In summer, when meeting continuous sunny days: in the evening, the six-control-base health is matched with Liangshen (or Delikang or Shuangan) or the nano oxygen is matched with zeolite powder for sprinkling.

And when the PH is lower than 5.5 or the PH is higher than 10, sending alarm information to a user.

Water temperature adjustment: in sunny days, the temperature difference of water temperature is about 5.39 ℃; in rainy days, the temperature difference of the water temperature is about 4.10 ℃; in rainy days, the temperature difference of water temperature is about 1.94 ℃; in high temperature days, the temperature difference of water temperature is about 1.81 ℃.

Different fishes have different adaptive water temperatures. The heating rod is turned on when the temperature t satisfies the following formula:

t＜T1+(T2-T1)*δ

wherein T1 is the lowest temperature suitable for fish culture, T2 is the highest temperature suitable for fish culture, and delta is a proportionality coefficient. T1 and T2 corresponding to common fishes are listed below.

The values of δ are as follows:

and when the air temperature is higher than 37 ℃ for seven continuous days or lower than 0 ℃ for seven continuous days, sending alarm information to the user.

Water level adjustment: every two hours, K is calculated according to the following formula₀：

L₀＝K₀*R₀*H₀*C₀/(l₀*v₀)

Wherein, K₀Is a proportionality coefficient; r₀(mm) is the amount of rainfall in the current two hours; h₀(%) is the current two hour air humidity; c₀(kilometers) is the current cloud layer thickness; l₀(ix) is the current sunlight intensity; v. of₀(m/s) is the current wind speed.

Automatically acquiring rainfall R after two hours from cloud platform₁Air humidity H after two hours₁Cloud thickness C of two hours in the future₁Two hours in the future sunlight intensity l₁Wind speed v of two hours in the future₁Predicting the water level after two hours:

L₁＝K₀*R₁*H₁*C₁/(l₁*v₁)。

if the following equation is not satisfied: 80% L₀＜L₁＜120％*L₀I.e. by

80％*K₀*R₀*H₀*C₀/(l₀*v₀)＜K₀*R₁*H₁*C₁/(l₁*v₁)＜120％*K₀*R₀*H₀*C₀/(l₀*v₀) Then the water pump is started to pump water or discharge water by 10 percent.

The water level shows the trend of changing from shallow winter to deep summer. The water depth varies from pond to pond as shown in the following table:

type of fish pond	Area (mu)	Deep water (rice)	Aspect ratio	Remarks for note
					Fry pond	1.5～2.0	1.5～2.0	2～3∶1	Can be used as fish seed pond
Fish seed pond	2.0～5.0	2.0～2.5	2～3∶1
					Adult fish pond	7.0～15.0	2.5～3.0	2～4∶1	Can reserve wide ridge
Parent fish pond	3.0～4.0	2.3～3.0	2～3∶1	Should be close to the spawning pond
					Overwintering pond	5.0～10.0	About 3	2～3∶1	Near water source

The water level in a common type of fishpond is adjusted as follows:

fry pond: when W is less than 1.5m, a water inlet pump is started; when W is more than 2.0m, the water pump is started.

A fish seed pond: when W is less than 2.0m, a water inlet pump is started; when W is more than 2.5m, the water pump is started.

Parent fish pond: when W is less than 2.3m, a water inlet pump is started; when W is more than 3.0m, the water pump is started.

Forming a fish pond: when W is less than 2.5m, a water inlet pump is started; when W is more than 3.0m, the water pump is started. W is the measured value of the water level sensor

And when it is forecasted that heavy rain, heavy rain or extra heavy rain exists within three days, alarm information is sent to the user.

And (3) illumination adjustment: and acquiring the current illumination intensity in the fishpond through the environment detection module and the wireless module, and comparing the current illumination intensity with the calculated optimal value.

The suitable illumination of different fishes is different, such as juvenile Pagrus major at 10^100lx and juvenile Pagrus major at 1 to 100 lx.

If the illumination value of one day does not reach the proper illumination within 12 hours, the illumination device is turned on.

In the rainy season, the light condition is insufficient, so that the growth of algae in the pond is relatively slow, the food intake of aquatic animals and the excrement of the aquatic animals is gradually increased, the water quality is gradually deteriorated, and even an anoxic state occurs, so that a light source needs to be supplemented in the rainy season. The formula for the lighting device given an additional light source is as follows:

Light＝(light0-light1)*K*{u(t-t1)-u(t-t4)-[u(t-t2)-u(t-t3)]}

wherein, the weather K is 1 in overcast and rainy days, and the weather K is 0 in sunny days; t1 to t2, t3 to t4 are the optimum illumination time for the fish in one day;

illumination control requirements for special weather:

cloud: turning on the illumination equipment to adjust to the optimum illumination intensity of the fish.

In winter: the lighting equipment is turned on at 6-7 am and 5-8 pm.

Spring and autumn: 6-6 in the morning: 30. 8-8 at night: 30 turn on the lighting device. The formula is as follows:

Light＝{K1*[u(t-6)-u(t-7)+u(t-17)-u(t-20)]+K2*[u(t-6)-u(t-6.5)+u(t-20)-u(t-20.5)]}*(light0-light1)

among them, Light0 is the optimum living Light intensity for different kinds of fish, Light1 is the measured value of the Light sensor, and Light is the current additionally required illumination intensity of the fishpond. In winter, K1 is 1, and the rest K1 is 0; when the spring and autumn comes, K2 is equal to 1, the rest time K2 is equal to 0, and t is the time of day (hour).

The user can also directly realize the automatic control of the fishpond environment according to the optimal environment parameters calculated by the formula. Meanwhile, if a user adjusts the optimized calculation value of the platform, the user can send an instruction to the cloud platform, send the instruction to the MCU through the wireless transmission module, and control the environment control module to control the environmental parameters of the fishpond so as to enable the fishpond to reach the state required by the user.

By collecting the fishpond water quality parameter information and the fishpond surrounding environment real-time parameters and forwarding the fishpond surrounding environment real-time parameters to the mobile equipment of a remote user through the cloud, the user can monitor the fishpond in real time through the Internet at any time and any place, and meanwhile, the user can also remotely send a mechanical operation instruction to control the water body environment adjusting equipment to adjust the water body environment; or the water body environment is automatically adjusted by using a calculation formula provided by the system, and a user can also control the system through the human-computer interaction equipment on the spot.

Aiming at the abnormal condition, the system also has the function of sending the alarm short message, and can inform the user to process in time, thereby avoiding the influence of the abnormal condition on the normal culture activity.

The invention has the characteristics of functional enterprise, high automation degree, easy operation and the like, and can effectively reduce the workload of users, improve the management precision of culture activities and reduce culture risks.

The above-mentioned embodiments are only preferred embodiments of the present invention, and should not be considered as limitations of the present invention, and the protection scope of the present invention should be defined by the claims, and equivalents including technical features of the claims. I.e., equivalent alterations and modifications within the scope hereof, are also intended to be within the scope of the invention.